Skip to content
MarketScale
‹ Back to IndustriesEngineering & Construction

Automation in Material Removal and Progress of New Product Development

On this episode of CalTV by Calvary Robotics, Host Joe Gemma talked with Robert Little, CEO of ATI Industrial Automation, the world-leading engineering-based developer of robotic accessories and robot arm tooling, including Automatic Tool Changers, Multi-Axis Force/Torque Sensing Systems, Utility Couplers, Material Removal Tools, Robotic Collision Sensors, Manual Tool Changers, and Compliance Devices. They talked…

This story was produced through MarketScale. See how Engineering & Construction teams put it to work with Partner & Channel Enablement.

Share

On this episode of CalTV by Calvary Robotics, Host Joe Gemma talked with Robert Little, CEO of ATI Industrial Automation, the world-leading engineering-based developer of robotic accessories and robot arm tooling, including Automatic Tool Changers, Multi-Axis Force/Torque Sensing Systems, Utility Couplers, Material Removal Tools, Robotic Collision Sensors, Manual Tool Changers, and Compliance Devices. They talked about automation around material removal and the progress of new product development.

Little co-founded ATI around 32 years ago. Their focus back then was the development of robotic end-effectors. In order to give themselves a focus, they decided that engineering was the most critical factor in that tooling. “We put an enormous amount of engineering time in the development of a variety of end-effectors over the years,” Little said. “Focusing on that foundation of innovation.” While engineering held top place, customer service came second. Little noted that after every sale, they followed up with strong service. This allowed them to build an extensive company on engineered robotics.

When it comes to material removal, it is a bit of a science project, or almost a black art, for most companies to implement due to the complexity of shape or materials. But, there have been some key developments that have helped to make the process more adaptable for today’s automation. “Material removal is quite a challenge,” Little said. “We use the word material removal because we want to be all-encompassing.”

Engineering & Construction: are you visible to AI?

Before they reach out, Engineering & Construction buyers ask AI engines which vendors to trust. See how AI describes your company today, and where competitors show up instead.

Free workspace

You just read one expert. Imagine publishing your whole team.

This article was produced through MarketScale. Create a free workspace and turn your own team's expertise into articles, video, and social posts. No credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What you get, free

Your own MarketScale Studio workspace
One video edit a month, on us
AI writing, editing, and publishing tools
In-platform coaching to learn the system

More Engineering & Construction Insights

AI moves from back office to job site in construction's next build-out

AI moves from back office to job site in construction's next build-out

McCarthy Building Companies has entered a multimillion-dollar agreement with Palantir to enhance AI adoption. However, RICS experts highlight that data readiness and organizational culture pose significant challenges. This development signals a shift in integrating AI within construction sectors.

  • 01McCarthy Building Cos. signs a major deal with Palantir.
  • 02Data readiness is a critical hurdle for AI integration.
  • 03Organizational culture impacts AI adoption in construction.

Jul 11, 2026

South Korea commits $7.5 billion to AI-autonomous manufacturing as smart factory count hits 30,000

South Korea commits $7.5 billion to AI-autonomous manufacturing as smart factory count hits 30,000

South Korea is investing $7.5 billion in advancing AI-autonomous manufacturing, with a significant increase in smart factories, now totaling 30,000. The initiative also targets the development of 100 AI manufacturing zones throughout the country.

  • 01South Korea invests $7.5 billion in AI-autonomous manufacturing.
  • 02There are currently 30,000 smart factories in South Korea.
  • 03The government aims to develop 100 AI manufacturing zones.

Jul 11, 2026

Construction's productivity crisis: why ML cost forecasting and off-site methods are converging

Construction's productivity crisis: why ML cost forecasting and off-site methods are converging

U.S. construction productivity has decreased since 1968. Machine learning models and off-site construction methods are becoming pivotal in bridging this productivity gap by providing accurate cost forecasting and efficient building practices.

  • 01U.S. construction productivity has been declining since 1968.
  • 02Machine learning models offer enhanced cost forecasting capabilities.
  • 03Off-site construction methods contribute to improved project efficiency.

Jul 10, 2026

Explore More Engineering & Construction Insights

Read more expert perspectives from across Engineering & Construction.

Browse Engineering & Construction Hub

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Engineering & Construction and beyond.

Book a 15-minute demo

Or call us. No forms required. We pick up. 214-945-2512